ReSpar: Reordering Algorithm for ReRAM-based Sparse Matrix-Vector Multiplication Accelerator

Sparse matrix-vector multiplication (SpMV) serves as a crucial operation for several key application domains, such as graph analytics and scientific computing, in the era of big data. The performance of SpMV is bounded by the data transmissions across memory channels in conventional von Neumann systems. Emerging metal-oxide resistive random access memory (ReRAM) has shown its potential to address ...